Deep Learning Masterclass with TensorFlow 2 Over 15 Projects

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Deep Learning Masterclass with TensorFlow 2 Over 15 Projects
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Files
  1. 97 - YOLO v3.mp4614.1 MB
  2. TutsNode.com.txt63 bytes
  3. 1 - Welcome English.vtt1.9 KB
  4. 104 - Semantic Segmentation Project.mp41.5 MB
  5. 126 - LSH Attention English.vtt77.3 KB
  6. 97 - YOLO v3 English.vtt73.4 KB
  7. 57 - Introduction to Convolutional Neural Networks English.vtt65.7 KB
  8. 66 - Transfer Learning and FineTuning English.vtt60.3 KB
  9. 116 - Attention Mechanism English.vtt60.2 KB
  10. 118 - Building Transformers with TensorFlow 2 English.vtt58.7 KB
  11. 54 - Training a Neural Network with TensorFlow English.vtt45.5 KB
  12. 147 - Image to Image Translation Project English.vtt895 bytes
  13. 0119 bytes
  14. 91 - Modeling YOLO v1.mp4479.2 MB
  15. 90 - Pascal VOC Dataset English.vtt57.3 KB
  16. 117 - Transformers Theory English.vtt53.5 KB
  17. 38 - Neural Networks English.vtt48.6 KB
  18. 18 - Numpy Package English.vtt48.4 KB
  19. 91 - Modeling English.vtt47.4 KB
  20. 95 - Performance Measurement English.vtt44.5 KB
  21. 24 - Linear Regression English.vtt44.0 KB
  22. 106 - Dataset Preparation English.vtt43.3 KB
  23. 73 - Imdb Dataset Code English.vtt38.3 KB
  24. 65 - EfficientNet English.vtt37.9 KB
  25. 29 - Performance Measurement English.vtt36.5 KB
  26. 128 - BERT Practice English.vtt36.3 KB
  27. 74 - Recurrent Neural Networks English.vtt36.0 KB
  28. 132 - Fourier Transform English.vtt35.8 KB
  29. 14 - Encapsulation English.vtt2.0 KB
  30. 146 - Wasserstein GAN English.vtt35.8 KB
  31. 15 - Polymorphism English.vtt2.4 KB
  32. 34 - Softmax Regression English.vtt35.6 KB
  33. 39 - Neural Networks English.vtt35.5 KB
  34. 25 - Logistic Regression English.vtt34.9 KB
  35. 82 - Word2Vec Practice English.vtt32.9 KB
  36. 114 - Performance Measurement English.vtt32.5 KB
  37. 26 - Linear Regression Practice English.vtt25.6 KB
  38. 1216 bytes
  39. 126 - LSH Attention.mp4478.8 MB
  40. 92 - Error Sanctioning English.vtt31.5 KB
  41. 112 - Sequence to Sequence Models English.vtt29.6 KB
  42. 109 - Data Augmentation English.vtt29.4 KB
  43. 53 - TensorFlow Basics English.vtt28.8 KB
  44. 36 - Neural Networks English.vtt28.6 KB
  45. 23 - Error Sanctioning English.vtt28.4 KB
  46. 6 - Variables and Basic Operators English.vtt27.0 KB
  47. 145 - GAN training and Optimization English.vtt26.3 KB
  48. 133 - Short Time Fourier Transform English.vtt26.3 KB
  49. 72 - Sentiment Analysis Dataset English.vtt26.2 KB
  50. 42 - Solving Overfitting and Underfitting English.vtt24.9 KB
  51. 135 - Speech Transformer English.vtt24.8 KB
  52. 140 - Vision Transformers English.vtt24.6 KB
  53. 86 - Training and Performance Measurement English.vtt24.3 KB
  54. 94 - Testing English.vtt23.0 KB
  55. 137 - Flickr 30k Dataset English.vtt23.0 KB
  56. 56 - TinyImagenet Preparation English.vtt22.5 KB
  57. 64 - MobileNet English.vtt22.0 KB
  58. 122 - SQUAD dataset preparation English.vtt21.7 KB
  59. 8 - Loops English.vtt21.6 KB
  60. 121 - SQUAD dataset English.vtt21.3 KB
  61. 134 - Conv English.vtt21.2 KB
  62. 139 - Training and Optimization English.vtt21.1 KB
  63. 28 - Optimization English.vtt21.0 KB
  64. 9 - Methods English.vtt20.6 KB
  65. 77 - LSTM English.vtt20.4 KB
  66. 22 - Model English.vtt18.9 KB
  67. 127 - BERT Model English.vtt18.6 KB
  68. 62 - InceptionNet English.vtt17.7 KB
  69. 16 - Decorators English.vtt17.6 KB
  70. 111 - Fre English.vtt17.5 KB
  71. 52 - Introduction to TensorFlow English.vtt17.4 KB
  72. 69 - Monitoring with TensorBoard English.vtt17.3 KB
  73. 100 - UNET model English.vtt17.2 KB
  74. 76 - Embeddings English.vtt17.2 KB
  75. 37 - Neural Networks English.vtt2.0 KB
  76. 48 - Normalization English.vtt17.1 KB
  77. 7 - Conditional Statements English.vtt17.0 KB
  78. 45 - Weight Initialization English.vtt16.7 KB
  79. 63 - ResNet English.vtt16.5 KB
  80. 68 - Callbacks English.vtt16.3 KB
  81. 21 - Data English.vtt16.0 KB
  82. 61 - VGGNet English.vtt15.9 KB
  83. 103 - Class weighting and reduced network English.vtt15.6 KB
  84. 96 - Data Augmentation English.vtt15.0 KB
  85. 75 - Training and Optimization Evaluation English.vtt15.0 KB
  86. 10 - Objects and Classes English.vtt14.3 KB
  87. 43 - Shuffling English.vtt1.2 KB
  88. 20 - Task English.vtt14.3 KB
  89. 44 - Ensembling English.vtt726 bytes
  90. 27 - Logistic Regression Practice English.vtt14.0 KB
  91. 81 - Word2Vec English.vtt13.9 KB
  92. 79 - 1D Convolutions English.vtt13.5 KB
  93. 84 - Breast Cancer Dataset English.vtt13.3 KB
  94. 51 - TensorFlow Installation English.vtt12.6 KB
  95. 47 - Learning rate decay English.vtt2.5 KB
  96. 105 - People Counting English.vtt12.3 KB
  97. 115 - Testing Sequence to Sequence Models English.vtt12.1 KB
  98. 143 - Image Generation English.vtt12.0 KB
  99. 150 - Deployment English.vtt11.8 KB
  100. 67 - Data Augmentation English.vtt11.6 KB
  101. 2 - General Introduction English.vtt11.4 KB
  102. 11 - Operator Overloading English.vtt11.4 KB
  103. 93 - Training and Optimization English.vtt10.8 KB
  104. 13 - Inheritance English.vtt10.5 KB
  105. 144 - GAN Loss English.vtt10.1 KB
  106. 123 - Context English.vtt10.1 KB
  107. 55 - Tiny Imagenet Dataset English.vtt10.0 KB
  108. 33 - Softmax Regression English.vtt9.6 KB
  109. 35 - Softmax Regression English.vtt9.5 KB
  110. 4 - About this Course English.vtt9.4 KB
  111. 17 - Generators English.vtt9.1 KB
  112. 41 - Neural Networks English.vtt9.1 KB
  113. 87 - Corrective Measures English.vtt9.0 KB
  114. 32 - Softmax Regression English.vtt7.2 KB
  115. 2237 bytes
  116. 66 - Transfer Learning and FineTuning.mp4439.9 MB
  117. 12 - Method Types English.vtt8.9 KB
  118. 30 - Validation and Testing English.vtt8.7 KB
  119. 60 - Reducing overfitting English.vtt8.4 KB
  120. 3 - Applications of Deep Learning English.vtt8.4 KB
  121. 131 - LJ English.vtt8.3 KB
  122. 107 - CSRNET English.vtt8.2 KB
  123. 129 - GPT Based Chatbot English.vtt1.3 KB
  124. 3164 bytes
  125. 116 - Attention Mechanism Bahdanau Attention.mp4421.4 MB
  126. 149 - Model Preparation English.vtt8.0 KB
  127. 99 - Image Segmentation English.vtt7.9 KB
  128. 142 - Introduction to Generative Modeling English.vtt7.6 KB
  129. 89 - Object Detection English.vtt7.0 KB
  130. 58 - Error Sanctioning English.vtt6.7 KB
  131. 138 - CNN English.vtt6.6 KB
  132. 108 - Training and Optimization English.vtt6.5 KB
  133. 124 - Training and Optimization English.vtt5.8 KB
  134. 80 - Bidirectional RNNs English.vtt5.6 KB
  135. 88 - Plant Disease Project English.vtt5.6 KB
  136. 31 - Softmax Regression English.vtt5.4 KB
  137. 78 - GRU English.vtt5.3 KB
  138. 101 - Training and Optimization English.vtt5.3 KB
  139. 46 - Data Imbalance English.vtt5.0 KB
  140. 148 - Introduction English.vtt5.0 KB
  141. 70 - ConvNet Project 1 English.vtt2.6 KB
  142. 19 - Matplotlib Introduction English.vtt4.7 KB
  143. 102 - Data Augmentation and Dropout English.vtt4.6 KB
  144. 71 - ConvNet Project 2 English.vtt4.5 KB
  145. 50 - In Class Exercise English.vtt4.5 KB
  146. 5 - Python Installation English.vtt4.1 KB
  147. 83 - RNN Project English.vtt3.8 KB
  148. 40 - Neural Networks English.vtt3.7 KB
  149. 59 - Training Validation and Performance Measurement English.vtt3.5 KB
  150. 113 - Training Sequence to Sequence Models English.vtt3.3 KB
  151. 49 - Hyperparameter tuning English.vtt3.2 KB
  152. 119 - Text Normalization project English.vtt3.2 KB
  153. 130 - What is Automatic Speech Recognition English.vtt2.9 KB
  154. 120 - Understanding Question Answering English.vtt2.6 KB
  155. 85 - ResNet Model English.vtt2.4 KB
  156. 125 - Data Augmentation English.vtt2.4 KB
  157. 98 - Instance Segmentation Project English.vtt1.6 KB
  158. 110 - Object Counting Project English.vtt1.1 KB
  159. 141 - OCR Project English.vtt766 bytes
  160. 136 - Audio Classification project English.vtt736 bytes
  161. [TGx]Downloaded from torrentgalaxy.to .txt585 bytes
  162. 104 - Semantic Segmentation Project English.vtt511 bytes
  163. 4413.2 KB
  164. 117 - Transformers Theory.mp4415.5 MB
  165. 5485.0 KB
  166. 90 - Pascal VOC Dataset.mp4402.5 MB
  167. 61.5 MB
  168. 65 - EfficientNet.mp4393.7 MB
  169. 7329.5 KB
  170. 38 - Neural Networks Training and Optimization.mp4366.1 MB
  171. 81.9 MB
  172. 57 - Introduction to Convolutional Neural Networks.mp4359.7 MB
  173. 9329.5 KB
  174. 118 - Building Transformers with TensorFlow 2.mp4315.9 MB
  175. 10132.5 KB
  176. 106 - Dataset Preparation.mp4303.1 MB
  177. 11890.0 KB
  178. 128 - BERT Practice.mp4288.6 MB
  179. 121.4 MB
  180. 73 - Imdb Dataset Code.mp4287.5 MB
  181. 13516.3 KB
  182. 146 - Wasserstein GAN.mp4277.5 MB
  183. 14500.4 KB
  184. 95 - Performance Measurement Mean Average Precision mAP.mp4267.0 MB
  185. 151.0 MB
  186. 82 - Word2Vec Practice.mp4247.2 MB
  187. 16868.7 KB
  188. 109 - Data Augmentation.mp4245.5 MB
  189. 17528.6 KB
  190. 24 - Linear Regression.mp4241.0 MB
  191. 181.0 MB
  192. 140 - Vision Transformers.mp4238.3 MB
  193. 191.7 MB
  194. 135 - Speech Transformer.mp4234.2 MB
  195. 201.8 MB
  196. 54 - Training a Neural Network with TensorFlow.mp4231.5 MB
  197. 21545.1 KB
  198. 25 - Logistic Regression.mp4229.4 MB
  199. 22566.6 KB
  200. 132 - Fourier Transform.mp4224.2 MB
  201. 231.8 MB
  202. 121 - SQUAD dataset.mp4224.0 MB
  203. 242.0 MB
  204. 127 - BERT Model.mp4220.3 MB
  205. 251.7 MB
  206. 39 - Neural Networks Training and Optimization Practicals.mp4212.6 MB
  207. 261.4 MB
  208. 29 - Performance Measurement.mp4210.2 MB
  209. 271.8 MB
  210. 18 - Numpy Package.mp4207.9 MB
  211. 2856.0 KB
  212. 74 - Recurrent Neural Networks.mp4207.5 MB
  213. 29484.3 KB
  214. 34 - Softmax Regression Training and Optimization.mp4207.1 MB
  215. 30961.1 KB
  216. 112 - Sequence to Sequence Models.mp4198.2 MB
  217. 311.8 MB
  218. 64 - MobileNet.mp4198.1 MB
  219. 321.9 MB
  220. 63 - ResNet.mp4196.5 MB
  221. 331.5 MB
  222. 145 - GAN training and Optimization.mp4190.0 MB
  223. 342.0 MB
  224. 137 - Flickr 30k Dataset.mp4188.0 MB
  225. 352.0 MB
  226. 36 - Neural Networks Modeling.mp4186.3 MB
  227. 361.7 MB
  228. 92 - Error Sanctioning.mp4185.7 MB
  229. 37273.3 KB
  230. 23 - Error Sanctioning Machine Learning Development Life Cycle.mp4178.9 MB
  231. 381.1 MB
  232. 139 - Training and Optimization.mp4177.1 MB
  233. 39933.2 KB
  234. 61 - VGGNet.mp4168.4 MB
  235. 401.6 MB
  236. 114 - Performance Measurement BLEU Score.mp4167.5 MB
  237. 41508.1 KB
  238. 122 - SQUAD dataset preparation.mp4165.3 MB
  239. 42680.7 KB
  240. 42 - Solving Overfitting and Underfitting.mp4164.4 MB
  241. 431.6 MB
  242. 94 - Testing.mp4162.4 MB
  243. 441.6 MB
  244. 133 - Short Time Fourier Transform.mp4161.0 MB
  245. 451.0 MB
  246. 72 - Sentiment Analysis Dataset.mp4153.5 MB
  247. 46491.2 KB
  248. 86 - Training and Performance Measurement.mp4150.1 MB
  249. 471.9 MB
  250. 77 - LSTM.mp4146.0 MB
  251. 488.6 KB
  252. 62 - InceptionNet.mp4137.0 MB
  253. 49995.9 KB
  254. 6 - Variables and Basic Operators.mp4134.9 MB
  255. 501.1 MB
  256. 56 - TinyImagenet Preparation.mp4131.0 MB
  257. 511.0 MB
  258. 26 - Linear Regression Practice.mp4130.2 MB
  259. 521.8 MB
  260. 28 - Optimization.mp4126.9 MB
  261. 531.1 MB
  262. 68 - Callbacks.mp4123.7 MB
  263. 54351.6 KB
  264. 103 - Class weighting and reduced network.mp4123.4 MB
  265. 55628.3 KB
  266. 111 - FreEng Dataset and Task.mp4123.0 MB
  267. 561018.2 KB
  268. 53 - TensorFlow Basics.mp4120.1 MB
  269. 571.9 MB
  270. 134 - Conv CTC Model.mp4115.3 MB
  271. 58699.8 KB
  272. 100 - UNET model.mp4113.2 MB
  273. 59820.6 KB
  274. 93 - Training and Optimization.mp4111.8 MB
  275. 60179.3 KB
  276. 52 - Introduction to TensorFlow.mp4107.7 MB
  277. 61271.4 KB
  278. 45 - Weight Initialization.mp4103.2 MB
  279. 62843.0 KB
  280. 69 - Monitoring with TensorBoard.mp4101.4 MB
  281. 63575.9 KB
  282. 48 - Normalization.mp4100.8 MB
  283. 641.2 MB
  284. 22 - Model Machine Learning Development Life Cycle.mp498.6 MB
  285. 651.4 MB
  286. 76 - Embeddings.mp498.2 MB
  287. 661.8 MB
  288. 96 - Data Augmentation.mp496.5 MB
  289. 671.5 MB
  290. 81 - Word2Vec.mp496.3 MB
  291. 681.7 MB
  292. 51 - TensorFlow Installation.mp495.0 MB
  293. 691.0 MB
  294. 8 - Loops.mp493.2 MB
  295. 70791.9 KB
  296. 84 - Breast Cancer Dataset.mp491.1 MB
  297. 71953.9 KB
  298. 16 - Decorators.mp490.7 MB
  299. 721.3 MB
  300. 7 - Conditional Statements.mp489.6 MB
  301. 73434.2 KB
  302. 143 - Image Generation.mp488.7 MB
  303. 741.3 MB
  304. 9 - Methods.mp488.4 MB
  305. 751.6 MB
  306. 75 - Training and Optimization Evaluation.mp486.2 MB
  307. 761.8 MB
  308. 55 - Tiny Imagenet Dataset.mp485.4 MB
  309. 77654.7 KB
  310. 21 - Data Machine Learning Development Life Cycle.mp482.7 MB
  311. 781.3 MB
  312. 20 - Task Machine Learning Development Life Cycle.mp480.3 MB
  313. 791.7 MB
  314. 105 - People Counting Shangai Tech Dataset.mp479.5 MB
  315. 80500.0 KB
  316. 142 - Introduction to Generative Modeling.mp477.3 MB
  317. 81701.8 KB
  318. 115 - Testing Sequence to Sequence Models.mp474.6 MB
  319. 821.4 MB
  320. 27 - Logistic Regression Practice.mp472.4 MB
  321. 831.6 MB
  322. 107 - CSRNET.mp471.4 MB
  323. 84663.6 KB
  324. 67 - Data Augmentation.mp471.3 MB
  325. 85733.0 KB
  326. 4 - About this Course.mp470.9 MB
  327. 861.1 MB
  328. 3 - Applications of Deep Learning.mp470.5 MB
  329. 871.5 MB
  330. 79 - 1D Convolutions.mp465.7 MB
  331. 88262.0 KB
  332. 149 - Model Preparation.mp463.9 MB
  333. 8975.9 KB
  334. 60 - Reducing overfitting.mp462.8 MB
  335. 901.2 MB
  336. 35 - Softmax Regression Performance Measurement.mp462.6 MB
  337. 911.4 MB
  338. 123 - Context Answer Network.mp462.4 MB
  339. 921.6 MB
  340. 10 - Objects and Classes.mp459.1 MB
  341. 93897.1 KB
  342. 41 - Neural Networks Validation and testing.mp459.0 MB
  343. 941.0 MB
  344. 99 - Image Segmentation Oxford IIIT Pet Dataset.mp457.4 MB
  345. 95638.6 KB
  346. 13 - Inheritance.mp457.3 MB
  347. 96689.7 KB
  348. 144 - GAN Loss.mp455.6 MB
  349. 97437.4 KB
  350. 2 - General Introduction.mp454.0 MB
  351. 9843.5 KB
  352. 11 - Operator Overloading.mp452.9 MB
  353. 991.1 MB
  354. 150 - Deployment.mp452.8 MB
  355. 1001.2 MB
  356. 87 - Corrective Measures.mp449.6 MB
  357. 101451.8 KB
  358. 89 - Object Detection.mp449.2 MB
  359. 102833.0 KB
  360. 108 - Training and Optimization.mp449.2 MB
  361. 103864.9 KB
  362. 31 - Softmax Regression Data.mp448.6 MB
  363. 1041.4 MB
  364. 12 - Method Types.mp448.3 MB
  365. 1051.7 MB
  366. 33 - Softmax Regression Errror Sanctioning.mp447.1 MB
  367. 106905.9 KB
  368. 17 - Generators.mp446.6 MB
  369. 1071.4 MB
  370. 131 - LJ Speech Dataset.mp445.9 MB
  371. 108101.4 KB
  372. 138 - CNN Transformer Model.mp443.4 MB
  373. 109634.5 KB
  374. 30 - Validation and Testing.mp442.6 MB
  375. 1101.4 MB
  376. 101 - Training and Optimization.mp441.9 MB
  377. 111120.0 KB
  378. 88 - Plant Disease Project.mp439.0 MB
  379. 1121.0 MB
  380. 80 - Bidirectional RNNs.mp437.4 MB
  381. 113619.0 KB
  382. 32 - Softmax Regression Modeling.mp436.3 MB
  383. 1141.7 MB
  384. 124 - Training and Optimization.mp436.0 MB
  385. 1153.7 KB
  386. 78 - GRU.mp430.4 MB
  387. 1161.6 MB
  388. 71 - ConvNet Project 2.mp430.0 MB
  389. 1172.0 MB
  390. 83 - RNN Project.mp427.8 MB
  391. 118252.3 KB
  392. 50 - In Class Exercise.mp427.6 MB
  393. 119411.4 KB
  394. 46 - Data Imbalance.mp427.4 MB
  395. 120584.9 KB
  396. 102 - Data Augmentation and Dropout.mp427.2 MB
  397. 121780.2 KB
  398. 58 - Error Sanctioning.mp426.2 MB
  399. 1221.8 MB
  400. 148 - Introduction.mp424.1 MB
  401. 1231.9 MB
  402. 119 - Text Normalization project.mp423.8 MB
  403. 124239.8 KB
  404. 40 - Neural Networks Performance Measurement.mp422.2 MB
  405. 1251.8 MB
  406. 19 - Matplotlib Introduction.mp421.5 MB
  407. 126479.5 KB
  408. 59 - Training Validation and Performance Measurement.mp420.9 MB
  409. 1271.1 MB
  410. 5 - Python Installation.mp418.1 MB
  411. 1281.9 MB
  412. 113 - Training Sequence to Sequence Models.mp414.9 MB
  413. 1291.1 MB
  414. 125 - Data Augmentation.mp414.5 MB
  415. 1301.5 MB
  416. 49 - Hyperparameter tuning.mp414.5 MB
  417. 1311.5 MB
  418. 15 - Polymorphism.mp413.4 MB
  419. 132615.4 KB
  420. 85 - ResNet Model.mp413.3 MB
  421. 133695.8 KB
  422. 120 - Understanding Question Answering.mp412.9 MB
  423. 1341.1 MB
  424. 47 - Learning rate decay.mp412.4 MB
  425. 1351.6 MB
  426. 130 - What is Automatic Speech Recognition.mp412.4 MB
  427. 1361.6 MB
  428. 14 - Encapsulation.mp411.6 MB
  429. 137430.4 KB
  430. 129 - GPT Based Chatbot.mp411.1 MB
  431. 138916.5 KB
  432. 98 - Instance Segmentation Project.mp410.6 MB
  433. 1391.4 MB
  434. 70 - ConvNet Project 1.mp410.4 MB
  435. 1401.6 MB
  436. 37 - Neural Networks Error Sanctioning.mp48.5 MB
  437. 1411.5 MB
  438. 43 - Shuffling.mp45.8 MB
  439. 142222.5 KB
  440. 147 - Image to Image Translation Project.mp45.7 MB
  441. 143320.4 KB
  442. 1 - Welcome.mp45.1 MB
  443. 144908.5 KB
  444. 44 - Ensembling.mp44.5 MB
  445. 1451.5 MB
  446. 136 - Audio Classification project.mp44.4 MB
  447. 1461.6 MB
  448. 141 - OCR Project.mp44.1 MB
  449. 1471.9 MB
  450. 110 - Object Counting Project.mp42.8 MB

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